AI sales intelligence that builds itself.
A prospect graph, not a contact list.
Drop in a research purpose. Strivian researches across sources, resolves entities, and builds a structured graph your team and AI agents can query — from the dashboard, API, or MCP.
{
"purpose": "Med spas in LA without online booking, active on Instagram"
}Three steps. One prospect graph.
Drop in a research purpose
Describe who you want to reach — a niche, a city, a competitor’s customers, a trigger event. Paste it into the dashboard and hit run.
Strivian builds the graph
The agent pulls signals across sources, resolves accounts and people, and maps the relationships into a structured, cited graph.
Pitch, automate, scale
Query from the dashboard, pipe into your outbound tool, or call from Claude / your agent via MCP. Every lead cited to its source.
Leads other tools can't surface.
Apollo gives you a contact list. Clay gives you a waterfall. Strivian gives you the leads that take reasoning across signals — gaps, hidden connections, trigger events.
Every lead is grounded — accounts resolved across sources, signals cited to the source URL. Ask from the dashboard, the API, or MCP from anywhere your agents run.
One API. Any lead worth chasing.
From ICP discovery to displacement plays to trigger-driven lists — the engine handles the research, you handle the pitch.
Prospect graph on demand
Drop in an ICP — get every account that matches plus the people, tech, and recent moves around them.
Live competitor KB
Products, pricing, customers, churn signals — refreshed weekly. Pitch when they’re ready to leave.
Signal-driven lead lists
New regulation, tech migration, hiring spike, funding round — ingest the signal, surface every account it touches.
Pre-call briefs in seconds
Every prospect deeply researched before the rep dials — leadership, stack, news, partners, openings.
Five lines of code.
Pick your language. Pick your protocol. Same call, same KB.
# Kick off a research run (returns 202 + job_id)
curl -X POST https://api.strivian.ai/v1/research \
-H "Authorization: Bearer $STRIVIAN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"purpose": "Med spas in LA without online booking, active on Instagram"
}'
# Poll the job until status = "completed"
curl https://api.strivian.ai/v1/research/$JOB_ID \
-H "Authorization: Bearer $STRIVIAN_API_KEY"
# Then ask the resulting knowledge layer anything
curl -X POST https://api.strivian.ai/v1/query \
-H "Authorization: Bearer $STRIVIAN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"query": "Which spas posted 4+ times this week?",
"knowledge_layer_id": "'$LAYER_ID'"
}'Polling, webhooks, refresh, MCP — all on the same key. Read the full reference →
One engine. Many shapes.
Lead gen is the sharp end — but the engine doesn't care what you point it at. Profile a vendor, scan a market, build an internal knowledge base. Same engine, same KB, same place to ask.
Not just lead gen
Profile a vendor, scan a category, build internal knowledge. Same engine, same KB, same place to ask.
One entity, every source
Same person, product, or place mentioned across multiple sources gets recognized and merged into one record. Ask once, get one clean answer — not five duplicates.
A graph you can read
Auto-discovered ontology — entity types, properties, relationships. Editable, queryable, governed.
Drop-in for any agent
Strivian as an MCP server in Claude, Cursor, or a different AI. Same KB, every agent.
Research.
The full picture.
Access is by invite during beta. Book a 15-min call — we'll set up your key and run a live research job on your real ICP, market, or competitor.
Book a Call